Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-05-04
Proc. Natl. Acad. Sci. 98: 1935-1940 (2001)
Physics
Condensed Matter
Disordered Systems and Neural Networks
3 figures, 2 large figures not included
Scientific paper
10.1073/pnas.031571498
To understand how the human visual system analyzes images, it is essential to know the structure of the visual environment. In particular, natural images display consistent statistical properties that distinguish them from random luminance distributions. We have studied the geometric regularities of oriented elements (edges or line segments) present in an ensemble of visual scenes, asking how much information the presence of a segment in a particular location of the visual scene carries about the presence of a second segment at different relative positions and orientations. We observed strong long-range correlations in the distribution of oriented segments that extend over the whole visual field. We further show that a very simple geometric rule, cocircularity, predicts the arrangement of segments in natural scenes, and that different geometrical arrangements show relevant differences in their scaling properties. Our results show similarities to geometric features of previous physiological and psychophysical studies. We discuss the implications of these findings for theories of early vision.
Cecchi Guillermo A.
Gilbert C. D.
Magnasco Marcelo O.
Sigman Mariano
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